Federated Learning for Microvasculature Segmentation and Diabetic Retinopathy Classification of OCT Data

PURPOSE: To evaluate the performance of a federated learning framework for deep neural network-based retinal microvasculature segmentation and referable diabetic retinopathy (RDR) classification using OCT and OCT angiography (OCTA). DESIGN: Retrospective analysis of clinical OCT and OCTA scans of co...

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Detalles Bibliográficos
Autores principales: Lo, Julian, Yu, Timothy T., Ma, Da, Zang, Pengxiao, Owen, Julia P., Zhang, Qinqin, Wang, Ruikang K., Beg, Mirza Faisal, Lee, Aaron Y., Jia, Yali, Sarunic, Marinko V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
The VSI: Artificial Intelligence and Big Data Collection
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9559956/
https://www.ncbi.nlm.nih.gov/pubmed/36246944
http://dx.doi.org/10.1016/j.xops.2021.100069

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9559956/
https://www.ncbi.nlm.nih.gov/pubmed/36246944
http://dx.doi.org/10.1016/j.xops.2021.100069

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